Update app.py

app.py

@@ -15,6 +15,33 @@ os.environ["PIXEL3DMM_CODE_BASE"] = f"{os.getcwd()}"
 os.environ["PIXEL3DMM_PREPROCESSED_DATA"] = f"{os.getcwd()}/proprocess_results"
 os.environ["PIXEL3DMM_TRACKING_OUTPUT"] = f"{os.getcwd()}/tracking_results"
 
+def sh(cmd): subprocess.check_call(cmd, shell=True)
+
+# only do this once per VM restart
+sh("pip install -e .")
+sh("cd src/pixel3dmm/preprocessing/facer && pip install -e .")
+sh("cd src/pixel3dmm/preprocessing/PIPNet/FaceBoxesV2/utils && sh make.sh")
+
+def install_cuda_toolkit():
+    CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda_12.1.0_530.30.02_linux.run"
+    CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
+    subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
+    subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
+    subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
+
+    os.environ["CUDA_HOME"] = "/usr/local/cuda"
+    os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
+    os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
+        os.environ["CUDA_HOME"],
+        "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
+    )
+    # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
+    os.environ["TORCH_CUDA_ARCH_LIST"] = "9.0"
+    print("==> finished installation")
+    
+
+install_cuda_toolkit()
+
 # Utility to select first image from a folder
 def first_image_from_dir(directory):
     patterns = ["*.jpg", "*.png", "*.jpeg"]